0 ×

Sentiment_​Predictor

Workflow

REST API for Sentiment Analysis
This workflow showcases the Rest API capabilities of the KNIME Server. We are reusing the model trained on the airline reviews and providing sentiment analyis as a service. Please try our corresponding responsive, mobile ready application to see sentiment prediction in action.
REST API for Sentiment AnalysisThis workflow showcases the Rest API capabilities of the KNIME Server. We are reusingthe model trained on the airline reviews and providing sentiment analyis as a service.Please try our corresponding responsive, mobile ready application to see sentimentprediction in action. Extract recomended label Reading Trained ML ModelCreate term vector of the test set with identicalfeature space of thetraining setAssigning text to predicted classesinput one or morecomments as JSONReading Document VectorOutput prediction andconfidence Category To Class Model Reader DocumentVector Applier Rule Engine ContainerInput (JSON) Model Reader ContainerOutput (JSON) Preprocessing Gradient BoostedTrees Predictor Postprocessing REST API for Sentiment AnalysisThis workflow showcases the Rest API capabilities of the KNIME Server. We are reusingthe model trained on the airline reviews and providing sentiment analyis as a service.Please try our corresponding responsive, mobile ready application to see sentimentprediction in action. Extract recomended label Reading Trained ML ModelCreate term vector of the test set with identicalfeature space of thetraining setAssigning text to predicted classesinput one or morecomments as JSONReading Document VectorOutput prediction andconfidence Category To Class Model Reader DocumentVector Applier Rule Engine ContainerInput (JSON) Model Reader ContainerOutput (JSON) Preprocessing Gradient BoostedTrees Predictor Postprocessing

Download

Get this workflow from the following link: Download

Nodes

Sentiment_​Predictor consists of the following 25 nodes(s):

Plugins

Sentiment_​Predictor contains nodes provided by the following 5 plugin(s):